CN111701697A - Cement raw material grinding system and automatic optimization control method thereof - Google Patents
Cement raw material grinding system and automatic optimization control method thereof Download PDFInfo
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- CN111701697A CN111701697A CN202010454470.0A CN202010454470A CN111701697A CN 111701697 A CN111701697 A CN 111701697A CN 202010454470 A CN202010454470 A CN 202010454470A CN 111701697 A CN111701697 A CN 111701697A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C21/00—Disintegrating plant with or without drying of the material
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C15/00—Disintegrating by milling members in the form of rollers or balls co-operating with rings or discs
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C23/00—Auxiliary methods or auxiliary devices or accessories specially adapted for crushing or disintegrating not provided for in preceding groups or not specially adapted to apparatus covered by a single preceding group
- B02C23/18—Adding fluid, other than for crushing or disintegrating by fluid energy
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C23/00—Auxiliary methods or auxiliary devices or accessories specially adapted for crushing or disintegrating not provided for in preceding groups or not specially adapted to apparatus covered by a single preceding group
- B02C23/18—Adding fluid, other than for crushing or disintegrating by fluid energy
- B02C23/24—Passing gas through crushing or disintegrating zone
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C25/00—Control arrangements specially adapted for crushing or disintegrating
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- C—CHEMISTRY; METALLURGY
- C04—CEMENTS; CONCRETE; ARTIFICIAL STONE; CERAMICS; REFRACTORIES
- C04B—LIME, MAGNESIA; SLAG; CEMENTS; COMPOSITIONS THEREOF, e.g. MORTARS, CONCRETE OR LIKE BUILDING MATERIALS; ARTIFICIAL STONE; CERAMICS; REFRACTORIES; TREATMENT OF NATURAL STONE
- C04B7/00—Hydraulic cements
- C04B7/36—Manufacture of hydraulic cements in general
- C04B7/38—Preparing or treating the raw materials individually or as batches, e.g. mixing with fuel
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C15/00—Disintegrating by milling members in the form of rollers or balls co-operating with rings or discs
- B02C2015/002—Disintegrating by milling members in the form of rollers or balls co-operating with rings or discs combined with a classifier
Abstract
The invention relates to a cement raw material mill system, and provides an automatic optimization control method for a cement raw material mill of the cement raw material mill system based on the cement raw material mill system, wherein the method comprises the following steps: s1, establishing an upper computer on the basis of the DCS control system of the cement raw material grinding system; s2, collecting multivariate and establishing a multivariate model; and S3, controlling the mill pressure difference and the mill discharge circulation according to the multivariable model. The invention can realize 24-hour uninterrupted operation under the common process condition, does not depend on manual setting values for indexes such as temperature, pressure and the like, and calculates the optimal setting values of the vital control points through software according to a large target given by a user so as to increase the yield, reduce the specific energy consumption, stabilize the quality and improve the economic benefit of cement production enterprises.
Description
Technical Field
The invention relates to the field of cement production, in particular to a cement raw material mill system and an automatic optimization control method thereof.
Background
The cement production process flow comprises three working procedures: cement raw material mill, cement firing and cement mill. Wherein, the procedure of the cement raw material mill is as follows:
1. after limestone, iron powder, sandstone and clay are proportioned by a raw material batching station, the materials are conveyed into a mill by a belt conveyor, and the materials are milled and ground by the relative motion between a grinding disc and a grinding roller;
2. hot air flow sent from a kiln tail (or a hot blast stove) is blown in from a mill nozzle ring and acts on materials, the crushed materials are blown by the hot air flow, and meanwhile, the materials are dried;
3. the large particles fall back to the millstone for continuous grinding, the super-large particles which can not be blown up by the hot air of the air ring are discharged out of the mill through a slag discharge port (external circulation), the rest materials are brought into a separator at the upper part of the mill for coarse-fine separation, the particles meeting the product requirements are discharged out of the mill along with the air flow, and the unqualified particles are returned to the millstone for continuous grinding (internal circulation) until the particles are qualified.
The automatic control of the cement raw material mill system has the following problems:
1. important quality parameters such as fineness are not continuously determined;
2. different operators have different operation habits, and for the operators, the most urgent need is to find an operation state which can meet the requirements and the working condition limitation;
3. conventional expert systems fail to find an optimal solution because they do not adequately balance the complexity of the various operations.
The raw material vertical mill is a key raw material grinding device in the novel dry cement production process, and plays a role in grinding and drying materials. Therefore, the pressure difference in the vertical mill and the temperature of the mill gas are effectively controlled, and the stable operation of the whole raw material production line is very important.
However, at present, the judgment of the working condition of the raw material mill control system by each cement production enterprise depends on the judgment of the process parameters such as the temperature and the pressure of the raw material mill system by an operator, and due to the lack of data support, an optimal control method is difficult to find, and the stability and the energy consumption index of the system cannot be ensured.
Disclosure of Invention
In view of the above, it is necessary to provide a cement raw material mill system and an automatic optimization control method thereof, which are directed to the problems of the existing raw material mill system.
The invention discloses a cement raw material mill system which comprises a steady flow bin, a vertical mill, a dynamic powder concentrator, a high-temperature fan, an electric dust collector, an air chute, a bucket elevator and a raw material homogenizing bin, wherein the steady flow bin is connected with the vertical mill; raw materials from an external batching station and circulating materials discharged from the vertical mill are fed into the stable bin together, the raw materials are conveyed into the vertical mill by a belt conveyor of the stable bin, fine powder ground by the vertical mill is brought into the dynamic powder concentrator along with gas, the fine powder is brought into the electric dust collector by the gas after being subjected to powder concentration by the dynamic powder concentrator, finished products collected by the electric dust collector enter the raw material homogenizing warehouse through the air chute and the bucket elevator, and the high-temperature fan provides a drying heat source for the vertical mill and the dynamic powder concentrator.
The invention also discloses an automatic optimization control method of the cement raw material mill based on the cement raw material mill system, which comprises the following steps:
s1, establishing an upper computer on the basis of the DCS control system of the cement raw material grinding system;
s2, collecting multivariate and establishing a multivariate model;
and S3, controlling the mill pressure difference and the mill discharge circulation according to the multivariable model.
In one embodiment, the step S1 uses an OPC interface to communicate with the DCS control system in a bidirectional manner.
In one embodiment, step S2 includes:
s21, collecting mill pressure difference as a first controlled variable, collecting external circulation current, mill vibration and material layer thickness as a second controlled variable;
s22, collecting the feeding amount as a first control variable and collecting the water spraying amount as a second control variable;
and S23, establishing a multivariate model of the mill pressure difference along with the change of the feeding amount according to a preset rule.
In one embodiment, step S3 includes:
and S31, controlling the temperature of the outlet of the mill according to the hot air quantity and the cold air quantity entering the mill.
The cement raw material mill system and the automatic optimization control method thereof provided by the invention can realize 24-hour uninterrupted operation under the common process condition, do not depend on manual setting values for indexes such as temperature and pressure, and calculate the optimal setting values of the vital control points through software according to a large target given by a user, so as to increase the yield, reduce the specific energy consumption, stabilize the quality and improve the economic benefit of cement production enterprises.
Drawings
FIG. 1 is a block diagram of a cement mill system according to one embodiment;
FIG. 2 is a flow chart of an automatic optimization control method for a cement raw material mill in one embodiment;
FIG. 3 is a diagram of a neuron model according to one embodiment;
FIG. 4 is a diagram of a multi-layer neuron network in one embodiment;
FIG. 5 is a diagram of the application of a multi-layer neuron network of the present invention.
Description of reference numerals:
1: a steady flow bin; 2: a vertical mill; 3: a dynamic powder concentrator; 4: a high temperature fan; 5: an electric dust collector; 6: an air chute; 7: a bucket elevator; 8: and (5) homogenizing and storing the raw materials.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that the terms "first," "second," and the like as used herein may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, a first primary controlled variable may be referred to as a second primary controlled variable, and similarly, a second primary controlled variable may be referred to as a first primary controlled variable, without departing from the scope of the present application.
FIG. 1 is a block diagram of a cement raw mill system in one embodiment, as shown. A cement raw material grinding system comprises a steady flow bin 1, a vertical grinding machine 2, a dynamic powder concentrator 3, a high-temperature fan 4, an electric dust collector 5, an air chute 6, a bucket elevator 7 and a raw material homogenizing bin 8.
Raw materials from an external batching station and circulating materials discharged from the vertical mill 2 are fed into the stable bin 1 together, the raw materials are conveyed into the vertical mill 2 through a belt conveyor of the stable bin 1, fine powder ground by the vertical mill 2 is brought into the dynamic powder concentrator 3 along with gas, the fine powder is brought into the electric dust collector 5 through the gas after being subjected to powder selection by the dynamic powder concentrator 3, finished products collected by the electric dust collector 5 enter a raw material homogenizing warehouse 8 through an air chute 6 and a bucket elevator 7, and a high-temperature fan 4 provides a drying heat source for the vertical mill 2 and the dynamic powder concentrator 3.
Wherein, the drying heat source provided by the high-temperature fan 4 is from the waste gas of the kiln tail preheater. Part of the purified waste gas can be used as circulating air to return to the vertical mill 2, and the rest is discharged into the atmosphere through an exhaust fan and a steel chimney.
The working principle of the vertical mill 2 (hereinafter referred to as "mill") is as follows: the raw materials enter the mill, move circumferentially around the center of the millstone under the action of centrifugal force, move outwards along the radial direction of the millstone and enter a grinding area. The periphery of the grinding disc is provided with a material stop ring, and the material forms a material bed on the grinding disc. Except for discharging partial fine powder along with airflow, the material overflows from the material blocking ring and enters the dynamic powder concentrator 3, the qualified finished product enters the electric dust collector 5, and the coarse material enters the mill again. Feeding the milled circulating material into a steady flow bin 1, and feeding the recycled material into a vertical mill 2 for grinding through the steady flow bin 1.
The cement raw material mill is the most complicated link in cement production, and based on the cement raw material mill system, an automatic optimization control method for the cement raw material mill is provided, and is shown in figure 2.
In one embodiment, the automatic optimizing control method for the cement raw material mill comprises the following steps:
and S1, establishing an upper computer on the DCS control system based on the cement raw material grinding system, wherein the upper computer is a computer capable of directly sending control commands and displaying various signal changes (such as hydraulic pressure, water level, temperature and the like) on a computer screen.
Among them, DCS (Distributed Control System, DCS for short) is also called a Distributed Control System in the automatic Control industry. DCS is used for process control at the back of a factory for continuous production, such as the cement industry. The main monitoring quantity in the cement industry is continuous analog quantity such as temperature, pressure, differential pressure, flow, liquid level and the like, and the main task of the monitoring quantity is to realize loop control of an important analog quantity loop (such as temperature, pressure, differential pressure, flow, liquid level and the like); the analog quantities meet the requirements of set values, and meanwhile, the interlocking protection of important equipment can be realized; and the state monitoring and display of the pump, the fan and the electric door in the chain production process can be realized.
Therefore, the DCS can conveniently realize the Sequence Control (SCS) of the switching value of the analog quantity control (MCS) and the data acquisition function (DAS) of the whole plant for the continuous production process.
Furthermore, the DCS has good network interconnection and communication functions, good flow chart picture display functions, real-time analog quantity display, trend display and historical data display functions, good various report record printing functions and good production process performance calculation functions.
The whole DCS control system is divided into four layers: management Information System (MIS), centralized operation monitoring, decentralized data processing and process control, and field parameter detection and terminal execution. The upper computer can adopt RSView32 industrial control configuration software, and RSView32 industrial control configuration software is standard configuration software based on a Windows operating system and provides all necessary functions such as monitoring, control and data acquisition.
In one embodiment, the automatic optimizing Control system for the cement raw material mill adopts an OPC (OLE for Process Control, OPC for short) interface to bidirectionally communicate with the DCS, wherein the OPC comprises a standard set of a whole set of interfaces, attributes and methods for process Control and a manufacturing automation system.
S2, collecting multivariate and establishing a multivariate model, which specifically comprises the following steps:
and S21, collecting the mill pressure difference as a first controlled variable, and collecting the external circulation current, mill vibration and material layer thickness as a second controlled variable.
S22, collecting the feeding amount as a first control variable and collecting the water spraying amount as a second control variable.
The system can process and process the acquired real-time data through an application program, online real-time control and production management are realized, various technological parameter values can be stored in the system in advance, and an operator can set the parameters according to production technological requirements, including setting of grinding temperature, batching, feeding and the like, and also can modify various set parameters online.
And S23, establishing a multivariate model of the mill pressure difference along with the change of the feeding amount according to a preset rule.
The invention does not need to analyze the complicated process of grinding the raw materials and the vertical mill, can establish a mathematical model describing the change of the pressure difference of the mill along with the feeding amount by only utilizing the process input and output data, has simple identification process, can identify on line and has stronger adaptability to the change of the production working condition.
In one embodiment of the invention, the neuron model is shown in fig. 3, and the calculation module Σ performs calculation based on the inputs x1, x2, x3, x4 and the weights w1, w2, w3, w 4. f is an output model and is output by using the parameter y.
In one embodiment of the invention, a multi-layer neuronal network is shown in FIG. 4, with each layer fully connected to the next.
In one embodiment of the present invention, the present invention employs a multi-layer neuron network as shown in fig. 5, for example, the present invention controls the pressure difference of a mill, determines the change of the pressure difference according to parameters such as feeding amount, component ratio and the like, and further performs control in advance.
More specifically, the operating parameters of the vertical mill according to an embodiment of the present invention, such as:
mill outlet temperature parameters: the grinding hot air can adopt waste gas of a rotary kiln system, and cold air and circulating air can be added before grinding.
Thickness parameter of the material layer in the mill: the vertical mill is a crushing device, and the crushing effect of the vertical mill depends on the grindability and the material quantity of the material. If the material is difficult to grind, the thickness of the material layer can be properly reduced; if the material is easy to grind, the material layer should be thickened properly, and the yield can be increased correspondingly.
Vibration parameters of the mill: if the blanking amount is lower than the output of the vertical mill, the material layer becomes thin, and when the material layer is thin to a certain degree, the mill vibrates; if the blanking amount is too large, the load of the circulation amount in the mill is increased, and the mill vibration is also caused.
And S3, controlling the mill pressure difference and the mill discharge circulation according to the multivariable model.
Because the pressure difference of the mill can reflect the amount of materials in the mill, when the pressure difference rises, a material layer in the mill becomes thick, and the mill vibrates; when the pressure difference is reduced, the material layer in the mill becomes thin, and the grinding disc is contacted with the grinding roller, so that the mill can vibrate.
In order to ensure the raw material is well dried, the outlet of the mill is generally controlled at about 80 ℃. If the temperature at the outlet of the mill is too high, the material is quickly dried, so that the material layer is unstable, and the mill can vibrate; the temperature at the outlet of the mill is too low, which indicates that the drying is insufficient, the moisture of raw materials is large, the grinding efficiency of the system is reduced, and the yield is seriously influenced. The step S3 includes:
and S31, controlling the temperature of the outlet of the mill according to the hot air quantity and the cold air quantity entering the mill.
In one embodiment, a mathematical model of the temperature of the grinding gas and the amount of hot and cold air is established by a heat balance equation.
The heat balance equation refers to the heat transfer between two or more systems with different temperatures until the temperatures of the systems are equal. In the process of heat exchange, the law of conversion and conservation of energy is followed. The heat transferred from the high temperature object to the low temperature object is actually the transfer of internal energy, and the decrease of the internal energy of the high temperature object is equal to the increase of the internal energy of the low temperature object.
The formula of the heat balance equation is as follows: q endotherm Q exotherm;
heat absorption: q is equal to Cm (t-t 0) Cm Δ t 2; heat release: q is equal to Cm (t 0-t) equal to Cm delta t;
wherein 0 is the initial temperature, t is the final temperature, which is the temperature after the change; c is the specific heat capacity of the substance, m is the mass of the substance, and Δ t is | t-t0|, i.e., the absolute value.
In addition, the fineness can be calculated in real time through the soft instrument, and the rotating speed of the dynamic powder concentrator and the rotating speed of the high-temperature fan can be adjusted in real time according to the predicted fineness, so that the maximum feeding amount can be adjusted. The soft meter analyzes and calculates measurable real-time industrial process data to conjecture analysis values of the components.
In addition, the system also adjusts the feeding amount and the circulating air amount of the cement raw material mill according to the relationship between the feeding amount and the mill differential pressure and the mill discharge circulating amount, and reduces the fluctuation of the mill differential pressure and the mill discharge bucket lifting current.
Furthermore, the system can calculate corresponding target values to carry out control by setting the ranges of the pressure difference of the mill and the current of the mill bucket.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (5)
1. A cement raw material grinding system is characterized by comprising a steady flow bin, a vertical grinding machine, a dynamic powder concentrator, a high-temperature fan, an electric dust collector, an air chute, a bucket elevator and a raw material homogenizing bin; raw materials from an external batching station and circulating materials discharged from the vertical mill are fed into the stable bin together, the raw materials are conveyed into the vertical mill by a belt conveyor of the stable bin, fine powder ground by the vertical mill is brought into the dynamic powder concentrator along with gas, the fine powder is brought into the electric dust collector by the gas after being subjected to powder concentration by the dynamic powder concentrator, finished products collected by the electric dust collector enter the raw material homogenizing warehouse through the air chute and the bucket elevator, and the high-temperature fan provides a drying heat source for the vertical mill and the dynamic powder concentrator.
2. An automatic optimizing control method for a cement raw material mill based on the cement raw material mill system of claim 1, the method comprising:
s1, establishing an upper computer on the basis of the DCS control system of the cement raw material grinding system;
s2, collecting multivariate and establishing a multivariate model;
and S3, controlling the mill pressure difference and the mill discharge circulation according to the multivariable model.
3. The automatic optimizing control method for the cement raw material mill according to claim 2, wherein the step S1 adopts an OPC interface to perform bidirectional communication with the DCS control system.
4. The automatic optimizing control method for the cement raw material mill as claimed in claim 2, wherein the step S2 includes:
s21, collecting mill pressure difference as a first controlled variable, collecting external circulation current, mill vibration and material layer thickness as a second controlled variable;
s22, collecting the feeding amount as a first control variable and collecting the water spraying amount as a second control variable;
and S23, establishing a multivariate model of the mill pressure difference along with the change of the feeding amount according to a preset rule.
5. The automatic optimizing control method of the cement raw material mill according to claim 2 or 4, wherein the step S3 includes:
and S31, controlling the temperature of the outlet of the mill according to the hot air quantity and the cold air quantity entering the mill.
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| CN112275439A (en) * | 2020-10-14 | 2021-01-29 | 济南大学 | Cement raw material vertical mill differential pressure soft measurement modeling method, storage medium and system |
| CN113769880A (en) * | 2021-09-29 | 2021-12-10 | 安徽海螺信息技术工程有限责任公司 | Cement production raw material mill system control index optimization method based on industrial big data |
| CN115138463A (en) * | 2022-05-16 | 2022-10-04 | 中信重工机械股份有限公司 | Water-saving and energy-saving final grinding system of roller press |
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| CN115138463A (en) * | 2022-05-16 | 2022-10-04 | 中信重工机械股份有限公司 | Water-saving and energy-saving final grinding system of roller press |
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